GenericNeuralNetwork VS iNeural

Compare GenericNeuralNetwork vs iNeural and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
GenericNeuralNetwork iNeural
- 4
1 5
- -
3.2 0.0
about 3 years ago over 1 year ago
HTML C++
- GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GenericNeuralNetwork

Posts with mentions or reviews of GenericNeuralNetwork. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning GenericNeuralNetwork yet.
Tracking mentions began in Dec 2020.

iNeural

Posts with mentions or reviews of iNeural. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-24.

What are some alternatives?

When comparing GenericNeuralNetwork and iNeural you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

fann - Official github repository for Fast Artificial Neural Network Library (FANN)

Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

GPBoost - Combining tree-boosting with Gaussian process and mixed effects models

command - Command, ::process::Command like syscalls in C++.

Seayon - Open source Neural Network library in C++

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

bomberland - Bomberland: a multi-agent AI competition based on Bomberman. This repository contains both starter / hello world kits + the engine source code

Pylearn2 - Warning: This project does not have any current developer. See bellow.

indexed_bzip2 - Fast parallel random access to bzip2 and gzip files in Python